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dc.contributor.authorChen, W.
dc.contributor.authorWang, Song
dc.date.accessioned2017-04-28T13:57:06Z
dc.date.available2017-04-28T13:57:06Z
dc.date.created2017-04-28T09:06:07Z
dc.date.issued2017
dc.identifier.citationChen, W. and Wang, S. 2017. A power penalty method for a 2D fractional partial differential linear complementarity problem governing two-asset American option pricing. Applied Mathematics and Computation. 305: pp. 174-187.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52000
dc.identifier.doi10.1016/j.amc.2017.01.069
dc.description.abstract

© 2017 Elsevier Inc.In this paper we propose a power penalty method for a linear complementarity problem (LCP) involving a fractional partial differential operator in two spatial dimensions arising in pricing American options on two underlying assets whose prices follow two independent geometric Lévy processes. We first approximate the LCP by a nonlinear 2D fractional partial differential equation (fPDE) with a penalty term. We then prove that the solution to the fPDE converges to that of the LCP in a Sobolev norm at an exponential rate depending on the parameters used in the penalty term. The 2D fPDE is discretized by a 2nd-order finite difference method in space and Crank–Nicolson method in time. Numerical experiments on a model Basket Option pricing problem were performed to demonstrate the convergent rates and the effectiveness of the penalty method.

dc.publisherElsevier Inc.
dc.titleA power penalty method for a 2D fractional partial differential linear complementarity problem governing two-asset American option pricing
dc.typeJournal Article
dcterms.source.volume305
dcterms.source.startPage174
dcterms.source.endPage187
dcterms.source.issn0096-3003
dcterms.source.titleApplied Mathematics and Computation
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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